Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 26 for “"WORLD MODELS"”.
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Neural World Models for Computer Vision
… environment by learning a mental model of the world through passive observation and active interaction. Their world model allows them to anticipate what might happen next and act accordingly with respect to an underlying objective. Such world models hold strong promises for planning in complex …
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Building World Models with Neural Physics
World models learn the dynamics of environments in a data-driven manner, enhancing performance and efficiency in downstream tasks such as control, design, recognition, and generation, thanks to cost-effective simulation and differentiability. A pre-trained world model should ideally (1) accurately …
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Inferring Structured World Models from Videos
… language (DSL) that represents the world as a set of discrete objects with underlying latent properties that govern their dynamical interactions. We present a novel, neurally guided, on-line inference technique to recover the structured world representation from raw video …
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Learning Structured World Models From and For Physical Interactions
… a strong intuitive understanding of the physical world. We observe and interact with the environment through multiple sensory modalities and build a mental model that predicts how the world would change if we applied a specific action (i.e., intuitive physics). This dissertation presents my …
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LEARNING TO ACT FROM DIVERSE DATA SOURCES VIA WORLD MODELS
… learn generalist agents? I argue that learning world models that predict future outcomes of actions directly from image observations is a uniquely suitable approach for training generalizable agents. I will discuss how world models can enable powerful unsupervised exploration and how to use a …
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Using small world models to study infection communication and control
… has focused in recent years on graph (network) models and especially on those exhibiting the small-world properties described by Watts and Strogatz in “Nature” in 1998. This thesis examines such graph models, discovering several attributes which may yield improved results. In order to quantify …
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Efficient Learning Control via Structural Policy Priors, Latent World Models and Hierarchical Abstraction
… of autonomous robots in unstructured real-world settings. Solving the associated complex decision processes under real-time constraints will require intuition, guiding current actions by prior experience to anticipate long-horizon environment interactions and integrating with optimal …
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Utilization and Synthesis of Symbolic World Models for Safe, Generalizable, and Efficient Action
… on large quantities of data that these models normally have. However, despite their flexibility, neural world models have several drawbacks. Symbolic world models, in comparison, are easier to verify (e.g. for safety concerns), more compatible with domain-independent planning techniques, …
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Artificial General Intelligence (AGI)-Native Wireless Systems: Digital Twins and World Models for Beyond 6G Networks
… that perform poorly in non-stationary, real-world environments. On the other hand, physical AI agents still lack the capability to generalize and adapt in unforeseen scenarios that appear in real-world settings. As a result, today's AI-native wireless systems and, in turn, their physical AI …
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Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
… research bottleneck, this work presents Powderworld, a lightweight yet expressive simulation environment running directly on the GPU. Within Powderworld, two motivating challenges are presented, one for world-modelling and one for reinforcement learning. Each contains hand-designed test tasks …
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Dynamic Multivariate Simplex Splines For Volume Representation And Modeling
… of heterogeneous objects acquired from real world are very challenging research tasks and playing fundamental roles in many potential applications, e.g., volume reconstruction, volume simulation and volume registration. In order to accurately and efficiently represent and model the real-world …
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Η ΤΑΚΤΙΚΗ ΛΕΙΤΟΥΡΓΙΑ ΤΟΥ "ΑΝ ΚΑΙ" ΚΑΙ Η ΣΧΕΣΗ ΤΟΥ ΜΕ ΑΛΛΑ ΣΥΝΔΕΤΙΚΑ. ΣΗΜΑΣΙΟΛΟΓΙΚΗ ΑΝΑΛΥΣΗ
… THE REPRESENTATION OF CONNECTION IS PROPOSED. WORLD MODELS COMPATIBLE WITH BOTH THE METALINGUISTIC AND THE ORDINARY TYPES OF CONCESSIVE CONNECTIONS ARE DISTINGUISHED.
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Mixed Modes of Autonomy for Scalable Communication and Control of Multi-Robot Systems
… without communication is based on building world models to facilitate coordination of the routes. A second variant of mixed mode autonomy was developed to allow robots to share parts of their world models with their peers when their models were incomplete or outdated. The system performance …
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From objects to worlds: scalable learning of 3D assets
Learning to reconstruct and generate the 3D world is a fundamental research problem in computer vision, with critical applications across diverse domains. However, the development of robust 3D generation and reconstruction systems is hindered by the scarcity of high-quality 3D data. This thesis …
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Secure inference of quantized neural networks
… paper presents a pipeline that can train real world models such as ResNet-18 on large datasets and quantize them without significant loss in accuracy. Additionally, we highlight customized quantize inference functions which we will eventually modify to be compatible with LHE and measure the …
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Dark matter searches with cosmic-ray detectors and the Square Kilometre Array
… degrees of freedom appearing in flexible brane-world models. These new fields behave as standard weakly interacting massive particles with a significant associated thermal relic density and would explain dark matter observational features.
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A Turbo Approach to Distributed Acoustic Detection and Estimation
… have proven to be advantageous in the sensor world. A large amount of research has been conducted with these systems, with a main interest in data fusion. Intelligently processing the large amounts of data collected by these systems is required in order to fully utilize the benefits of a …
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Listening with generative models
… tools to build and apply rich generative models that describe what we hear. First, I present a hierarchical Bayesian auditory scene synthesis model to address the perceptual organization of sound into sources and events. We aimed to bridge between classical auditory scene analysis …
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Supporting design planning through process model simulation
… for process analysis - the use of hypothetical models and confidence profiles that link product and process information - were proposed. A software tool was developed to automatically generate such hypothetical models. Simulation analyses were performed on both hypothetical and real-world …
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Navigation with Local Sensors in Surgical Robotics
… precision. This work proposes to augment robot world models by introducing such local sensors (in particular, force and sound as well as ultrasonic sensors, all of which provide data from an estimated local epsilon-environment) and to build precise maps from local sensors, which serve as input …
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